| Benchmark | Kimi K2.6 | Qwen3.5 27B |
|---|---|---|
| AA Agentic Index | 58.7 | 54.6 |
| AA Intelligence | 45.1 | 34.6 |
| AA-LCR | 76.7 | 72.3 |
| AA-Omniscience | 6.4 | -44 |
| aime_2026 | 96.4 | 92.6 |
| arena_vision | 1264 | 1221 |
| Artificial Analysis Coding Index | 61.8 | 34.9 |
| baby_vision | 68.5 | 44.6 |
| browsecomp | 86.3 | 61 |
| charxiv_rq | 86.7 | 79.5 |
| Claw Eval (pass@3) | 80.9 | 46.2 |
| coding_arena_elo | 1509 | 1357 |
| critpt | 8 | 0.9 |
| gdpval | 41.4 | 33 |
| GPQA Diamond | 91.1 | 85.8 |
| HLE | 37.5 | 48.5 |
| hmmt_feb_2026 | 94.7 | 84.3 |
| IFBench | 76 | 76.5 |
| imo_answer_bench | 86 | 79.9 |
| itbenchSre | 31.2 | 35.5 |
| LiveCodeBench v6 | 89.6 | 80.7 |
| mathvision | 93.2 | 86 |
| MCP Atlas | 68.1 | 68.4 |
| mcpmark | 55.9 | 36.3 |
| MMLU-Pro | 87.1 | 86.1 |
| MMMU-Pro | 80.1 | 75 |
| OJBench | 60.6 | 40.1 |
| OmniScience Accuracy | 32.8 | 20.7 |
| OmniScience Non-Hallucination | 60.7 | 24.9 |
| OSWorld-Verified | 73.1 | 56.2 |
| scicode | 53.5 | 39.5 |
| SWE-bench Multilingual | 76.7 | 69.3 |
| SWE-bench Pro | 58.6 | 51.2 |
| SWE-bench Verified | 80.2 | 75 |
| Terminal-Bench 2.0 | 66.7 | 41.6 |
| Terminal-Bench Hard | 43.9 | 32.6 |
| vectara_answer_rate | 99.7 | 99.8 |
| vectara_avg_summary_length | 116.7 | 94.4 |
| vectara_factual_consistency | 89.2 | 87.9 |
| vectara_hallucination_rate ↓ | 10.8 | 12.1 |
| WideSearch | 80.8 | 66.4 |
| τ²-Bench Telecom (AA run) | 95.9 | 93.9 |
| τ³-Bench | 20.6 | 68.4 |
Best tracked score per model per benchmark (default configuration; source-attributed). ↓ marks lower-is-better metrics. Open either model for its full surface, provenance and pricing.